AWS re:Invent 2016

Latest Episodes:

CMP211: Getting Started with Serverless Architectures Dec 25, 2016

Show notes

Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities.

CMP212: Host a massively scalable website around the world for a fraction of the cost in a DevOps model Dec 25, 2016

Show notes

A worldwide dynamic website infrastructure at the cost and simplicity of a static deployment was once an unachievable dream. That’s no longer the case with the tools and services that AWS offers like Amazon CloudFront, Amazon S3, Amazon API Gateway and AWS Lambda. During this session we will discuss a DevOps approach to managing your code repositories, code quality, continuous integration and deployments. We discuss some static website generators such as mkdocs, Jekyll, and middleman for building knowledge bases, blogs and websites in a serverless architecture.

CMP213: Case Study: Librato's Experience Running Cassandra Using Amazon EBS, ENIs, and Amazon VPC Dec 25, 2016

Show notes

At Librato, a Solarwinds company, we run hundreds of Cassandra instances across multiple rings and use it as our primary data store. In the past year, we embarked on a process to upgrade our fleet of Cassandra Amazon EC2 instances from instance store to instances using Amazon EBS and attached elastic network interfaces (ENIs). We find running Cassandra on EBS gives us the flexibility to choose the best instances for the best performance of our workload while saving us significant costs on infrastructure. In this session, we discuss how Librato operates Cassandra on EBS. Topics include how we chose the right instance for our workload, use detached EBS volumes and ENI mobility to reduce MTTR, use mixed EBS storage types for the best cost/performance tradeoff, debug performance issues, and continuously monitor Cassandra to get the most from AWS. We also look at performance tradeoffs made in the implementation of storage engines of large data systems like Cassandra.

CMP301: Deep Dive on Amazon EC2 Instances, Featuring Performance Optimization Best Practices Dec 25, 2016

Show notes

Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.

CMP302: Disrupting Big Data with Cost-effective Compute Dec 25, 2016

Show notes

Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session, AOL and Metamarkets will present lessons learned and best practices from scaling their big data workloads using popular platforms like Presto, Spark and Druid.

CMP304: T2: From Startups to Enterprise, Performance for a Low Cost Dec 25, 2016

Show notes

In this session, customers learn more about the T2 instance type and the performance and cost savings it can bring to startups, SMBs, and enterprises. Customers will share best practices and tips for how they use T2 instances across workloads including development and test, production web servers, continuous integration and more.

CMP305: Serverless to 32 XLarge: A Unified Security Approach To AWS Compute Dec 25, 2016

Show notes

Each of the four distinct compute services available from AWS bring unique advantages to your application's design: Amazon EC2, AWS Elastic Beanstalk, Amazon ECS, and AWS Lambda. However, your security responsibilities change with each of these services. For example, with Amazon EC2 and AWS Elastic Beanstalk, you need a plan to lock down the operating system, your applications, and your data. Containers running in Amazon ECS provides additional flexibility and mobility but also introduces new challenges as most security techniques were not designed with containers in mind. AWS Lambda requires a completely new approach to security design at the function level.

CMP306: Apache Spark on EC2 History, Best Practices with Customer Use Cases Dec 25, 2016

Show notes

Apache Spark is well known across industries, use cases and businesses of all sizes for its speed and ease of use in sophisticated analysis of large datasets. In this session, learn from Ion Stoica who co-led the Apache Spark project at the AMPLab (UC Berkeley) and co-founder of Databricks, about some of the latest innovations in Spark 2.0, a new open source tool Earnest to choose the optimal cluster configuration for your job, and how and why Databricks choose EC2 to run Spark. We’ll also take a look at how Amazon EC2 and the latest enhancements enable Sparks as a data processing platform, along-with best practices and cost optimization techniques for using Spark with AWS.

CMP307: Save up to 90% and Run Production Workloads on Spot - Featuring IFTTT and Mapbox Dec 25, 2016

Show notes

Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.

CMP311: The Future of Cloud: Building with Stateless Infrastructure on Amazon EC2 Dec 25, 2016

Show notes

ProtectWise has been hailed as one of the top 10 coolest startups of 2016, disrupting the security industry by providing cutting edge cloud-based network threat detection, forensics and analytics for Fortune 2000 customers. By developing a scalable, stateless platform, they are able to quickly right-size Amazon EC2 instances to optimize performance and ingest gigabytes of network packet capture at a fraction of the cost. Learn how their cloud-first approach towards infrastructure and application development has enabled them to be more agile, grow faster, and save money. In this session, attendees gain practical best practices for how to build cloud-ready applications and see real-life examples of how this hot startup applied those to common workloads like Cassandra.

Our TOPPODCAST Picks

Follow Us

Stay Connected

Related Podcasts

Links

Stay Connected